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Building a high availability cluster based on Corosync and Pacemaker in Google Cloud Platform
An excellent training about Operating Systems
HA Cluster with CentOS in Google Cloud Platform – Hands-On
Are you hosting or planning to host your company infrastructure in Google Cloud environment? Are you running Linux virtual machines running applications of your choice in Google Cloud Platform? Then you are the target audience for this course! This specific course is designed to show you how to build a high availability cluster in Google Cloud Platform. With public clouds hosting more and more critical infrastructure, the need for a high availability setup is rising. Google Cloud Platform is well suited for a high availability cluster based on the modern Corosync & Pacemaker stack. Corosync & Pacemaker is the standard in high availability in Linux nowadays. I make use of my years-long experience with Linux clusters here to briefly talk about clustering basics as well as present you specifics of a high availability setup in Google Cloud Platform. The course covers a basic orientation in Google Cloud Platform Console, continues to configuring the Cloud environment and once the Google-provided elements are in place, we will move to the CentOS Linux console to build the high availability cluster with everything it needs. After completing this course, youll be ready to create your own high availability cluster in Google Cloud Platform. You will know what configurations the cluster stack is suited for in the GCP context, as well as what is not supported. You will be given some hints as to what to keep in mind when assigned to build a high availability setup and provided with references by current cluster stack developers and maintainers. Other references include the official Red Hat documentation. You will see that creating a highly available infrastructure hosted in Google Cloud Platform using Corosync and Pacemaker is fun and easy. Yet the created infra will be robust and able to withstand a crash of a node or the hosted application.
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